Research Topics:

Data Analysis | Data Quality | Quantitative Research

Content Type:

Glossary

Error Checking Routines Definition

Computer programs that accept instructions from the user to check for logical errors in the data.

Error checking routines identify and rectify errors and inconsistencies within collected data, analysis and reporting. These systematic processes and procedures scrutinize data inputs, calculations and outputs to provide evidence of the integrity and reliability of research findings. In some cases, the routines are handled by computer programs that accept instructions from the user to check for logical errors in the data. The process is vital in maintaining the quality and validity of marketing research, which are essential for making reliable business decisions. Performing error checks establish a standard of research integrity, which increases the credibility and trustworthiness of research outcomes. 

Who relies on error checking routines?

Market researchers, analysts, data scientists and project managers follow error checking routines when they are responsible for designing, conducting and interpreting research studies. What’s more, businesses, organizations and decision makers rely on research insights to create strategies and make informed decisions depending on error checking to supply accurate data.

Why should I care about error checking routines?

Error checking routines are vital to marketing and business professionals for a number of reasons. For starters, accurate data leads to reliable insights. What’s more, errors can lead to misinterpretations and misguided strategies. In addition, following error checking practices enhances the credibility of research and adds to the trust others place in the findings in question.